{"success":true,"database":"eegdash","data":{"_id":"69d16e04897a7725c66f4c49","dataset_id":"ds007431","associated_paper_doi":null,"authors":["Nursena Ataseven","Sahcan Ozdemir","Wouter Kruijne","Daniel Schneider","Elkan G. Akyurek"],"bids_version":"v1.2.1","contact_info":["Nursena Ataseven"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds007431.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":47,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds007431","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"c76e159476ae4cb2ab9bc92ce5dbb669b9e07e2764af5924f4f71145c338fc3d","license":"CC0","n_contributing_labs":null,"name":"Diffuse predictions stabilize and reshape neural code during memory encoding","readme":"Experimental task: participants judged whether a probe grating was rotated clockwise or counterclockwise relative to a memorized orientation, which was either predictable or unpredictable. Each memory item was preceded by a central color cue (red, green, or blue). In half of the trials, two of these colors (predictive) cued two non-overlapping 90° segments of orientations that the grating was sampled from. Thus, participants knew the range of possible orientations of these items, but not their exact orientation. In the other half of the trials, a third (non-predictive) color was presented that signaled the item could have any possible orientation.The preprocessing and analysis scripts can be found on OSF: https://osf.io/8evwh/","recording_modality":["eeg"],"senior_author":"Elkan G. Akyurek","sessions":[],"size_bytes":155226967884,"source":"openneuro","storage":{"backend":"s3","base":"s3://openneuro.org/ds007431","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.tsv","task-DelayedComparisonTask_events.json"]},"study_design":null,"study_domain":null,"tasks":["DelayedComparisonTask"],"timestamps":{"digested_at":"2026-04-22T12:30:17.256166+00:00","dataset_created_at":"2026-02-17T09:24:03.997Z","dataset_modified_at":"2026-02-17T14:51:44.000Z"},"total_files":47,"computed_title":"Diffuse predictions stabilize and reshape neural code during memory encoding","nchans_counts":[{"val":66,"count":47}],"sfreq_counts":[{"val":1000.0,"count":47}],"stats_computed_at":"2026-04-22T23:16:00.312778+00:00","total_duration_s":576610.541,"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"6dd8637f253d08f2","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Healthy"],"modality":["Visual"],"type":["Memory"],"confidence":{"pathology":0.6,"modality":0.85,"type":0.8},"reasoning":{"few_shot_analysis":"Closest few-shot convention matches:\n- The digit span dataset (Healthy / Auditory / Memory) shows that when the explicit aim is a working-memory/short-term retention task (memorize items, then compare/recall), the catalog Type label should be \"Memory\" rather than \"Perception\" or \"Decision-making\".\n- The schizophrenia visual motion discrimination example illustrates Modality labeling by stimulus channel (visual stimuli => \"Visual\"), regardless of the response choice.\nThese examples guide mapping here: a delayed comparison of a memorized grating orientation is primarily a memory paradigm with visual stimuli.","metadata_analysis":"Key metadata facts:\n- Visual stimuli and cueing: \"a probe grating\" and \"Each memory item was preceded by a central color cue (red, green, or blue).\"\n- Memory retention/encoding: \"relative to a memorized orientation\" and the title explicitly frames the study as \"memory encoding\" (\"Diffuse predictions stabilize and reshape neural code during memory encoding\").\n- No clinical recruitment described: only \"Subjects: 47\" is given, with no diagnosis/patient group mentioned.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n- Metadata says: only \"Subjects: 47\" with no mention of patients/diagnoses.\n- Few-shot pattern suggests: when no disorder is stated, label as \"Healthy\".\n- Alignment: ALIGN (no conflicting clinical facts).\n\nModality:\n- Metadata says: \"probe grating\" and \"central color cue\" (both visual).\n- Few-shot pattern suggests: visual discrimination/visual stimuli => \"Visual\".\n- Alignment: ALIGN.\n\nType:\n- Metadata says: \"relative to a memorized orientation\" and title emphasizes \"memory encoding\".\n- Few-shot pattern suggests: tasks centered on maintaining/using remembered items (e.g., digit span) => \"Memory\".\n- Alignment: ALIGN.","decision_summary":"Top-2 comparative selections:\n\nPathology:\n1) Healthy (selected) — Evidence: no clinical population stated; only \"Subjects: 47\".\n2) Unknown — Competing because the metadata never explicitly says \"healthy\"/\"controls\".\nDecision: Healthy is stronger given the absence of any clinical recruitment language.\n\nModality:\n1) Visual (selected) — Evidence: \"probe grating\"; \"central color cue (red, green, or blue)\"; predictable orientation ranges cued by colors.\n2) Other — Only if stimuli were non-visual, which is not supported.\nDecision: Visual clearly dominates.\n\nType:\n1) Memory (selected) — Evidence: \"memorized orientation\"; title: \"memory encoding\"; task name \"DelayedComparisonTask\" implies retention then comparison.\n2) Perception — Because the overt response is a clockwise/counterclockwise judgment, but it is explicitly relative to a remembered item.\nDecision: Memory is better aligned with the study framing and task requirement.\n\nConfidence justification:\n- Pathology 0.6: inference from lack of any diagnosis statements (only \"Subjects: 47\").\n- Modality 0.85: multiple direct visual-stimulus quotes (\"probe grating\", \"central color cue\") + strong few-shot convention match.\n- Type 0.8: at least two direct memory-oriented quotes (\"memorized orientation\", \"memory encoding\") + few-shot convention match to Memory tasks."}},"canonical_name":null,"name_confidence":0.89,"name_meta":{"suggested_at":"2026-04-14T10:18:35.343Z","model":"openai/gpt-5.2 + openai/gpt-5.4-mini + deterministic_fallback"},"name_source":"author_year","author_year":"Ataseven2026"}}